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Remote Computational Material Science Jobs in Virginia

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Showing results 41-60

Remote Computational Material Science information

What is the difference between Remote Computational Material Science vs Remote Materials Data Analyst?

AspectRemote Computational Material ScienceRemote Materials Data Analyst
Required CredentialsAdvanced degrees in materials science, physics, or chemistry; programming skillsBachelor's or master's in materials science, data analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, or corporate R&D teams; focus on simulations and modelingData-focused roles in corporate or research settings; emphasis on data interpretation and visualization
Industry UsageResearch institutions, tech companies, manufacturingManufacturing, tech firms, consulting
Common Search/ComparisonYesYes

Remote Computational Material Science involves using simulations and modeling to understand material properties, requiring advanced technical skills. In contrast, Remote Materials Data Analysts focus on analyzing and visualizing data related to materials, often with less emphasis on modeling. Both roles are vital in materials research and industry, but they differ in technical focus and daily tasks.

What are the most commonly searched types of Computational Material Science jobs in Virginia? The most popular types of Computational Material Science jobs in Virginia are:
What are popular job titles related to Remote Computational Material Science jobs in Virginia? For Remote Computational Material Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Computational Material Science jobs in Virginia look for? The top searched job categories for Remote Computational Material Science jobs in Virginia are:
What cities in Virginia are hiring for Remote Computational Material Science jobs? Cities in Virginia with the most Remote Computational Material Science job openings:

Digital Chemistry Specialist - Remote

micro1 AI

Hampton, VA • Remote

$90 - $120/hr

Part-time

Posted 14 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.